{"id":"W2071998354","doi":"10.1109/icra.2013.6631169","title":"On the design of a statically balanced serial robot using remote counterweights","year":2013,"lang":"en","type":"article","venue":"","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Counterweight; Payload (computing); Robot; Computer science; Reducer; Compensation (psychology); Simulation; Control engineering; Engineering; Mechanical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001046188,0.00007174395,0.00009199454,0.0000213752,0.00002603977,0.00002212614,0.00008093406,0.00003381496,0.0002244419],"category_scores_gemma":[0.00003866017,0.00004131392,0.00002427501,0.00005838927,0.00003926425,0.00003470973,0.000008950721,0.00005497971,0.00003581695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002000933,"about_ca_system_score_gemma":0.00001167272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001436988,"about_ca_topic_score_gemma":0.000001003935,"domain_scores_codex":[0.9995302,0.00002857436,0.0001630497,0.00006008641,0.0001081412,0.0001099717],"domain_scores_gemma":[0.9994891,0.0002490684,0.00001845051,0.0001504971,0.00006535455,0.00002756125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006889733,0.00001200837,0.000002624349,0.00001921217,0.00001559638,2.158931e-7,0.0001748611,0.9300212,0.0583198,0.01059931,0.0004224096,0.000405855],"study_design_scores_gemma":[0.0001373536,0.00006184369,0.0001481239,0.00002509176,0.000003482295,6.790743e-7,0.00003233605,0.9828053,0.004909572,0.0117919,0.00002054674,0.00006380476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1527202,0.000007219959,0.8454874,0.0002211343,0.0001717413,0.0003103658,0.00000155406,0.00004920282,0.001031112],"genre_scores_gemma":[0.8762134,0.000005135466,0.1235858,0.00009268674,0.00001706288,0.000002514549,5.505964e-7,0.00001419702,0.00006864224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7234932,"threshold_uncertainty_score":0.2457481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798952278397903,"score_gpt":0.2162141846655953,"score_spread":0.1982246618816163,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}